Machine Learning Engineer Intern - Shanghai
Core
Design and develop machine learning tools and models to enable anomaly reasoning and core manufacturing processes for Apple hardware.
Role type
Machine Learning Engineer Intern
Builds
Machine learning tools and models for hardware test reasoning and analysis
Domain
Hardware manufacturing / Industrial AI
Deliverable
production ML models
Required skills
Machine learning algorithm development, Deep learning frameworks (PyTorch, TensorFlow), Python programming, Data architecture design
Preferred skills
Large Language Models (LLMs), Prompt engineering, Multimodal data integration, Computer vision, Image processing for anomaly detection, Data pipeline optimization
Technologies
PyTorch, TensorFlow, Python, Git
Responsibilities
Design, develop, and optimize core machine learning models and data architectures for manufacturing; Develop advanced multimodal and LLM-based models for hardware test reasoning; Integrate core ML capabilities into central frameworks; Collaborate with cross-functional teams to validate, debug, and deploy production-ready algorithms to factory infrastructures.
